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Computational Biology and Agricultural Science● OpenMastersPreview

MSc in Agrobioinformatics

Combine bioinformatics with agricultural science to tackle global food security and climate challenges through data-driven solutions.

Best for:Best for Bachelor’s graduates in Agricultural Sciences, Biology, Bioinformatics, or related fields who seek to specialise in computational agriculture and bioinformatics to drive innovation in food systems.

Justus Liebig University Giessen · Gießen, Germany
More professors at Justus Liebig University Giessen
bioinformaticsgenomics and proteomicsagricultural data analysisplant breedinggenetic diversity analysissystem biology
This is a masters position — not a PhD studentship.
Deadline
Register by 15 June 2027
Funding
Unfunded
4 semesters (2 years)
Start date
Winter semester (typically October)
Full-time
Location
Gießen
Germany

Overview

The Master of Science in Agrobioinformatics at Justus Liebig University Giessen offers a cutting-edge programme where students integrate computational techniques with agricultural research. This interdisciplinary field bridges computer science, biotechnology, and modern agriculture to address critical challenges like food insecurity and climate change. Students gain hands-on experience in analysing biological data (genomics, proteomics, metabolomics) and developing analysis pipelines, while also exploring applied areas such as plant breeding, seed production, and agrobiotechnology. The programme is structured around core modules in programming, statistics, and bioinformatics, complemented by optional modules and a mandatory work placement or thesis project, ensuring practical industry exposure.

agrobioinformaticsbioinformaticsagricultural data sciencegenomicsproteomicsPython programmingstatistical learningneural networks

What you'll do

  • Develop and apply computational methods to analyse biological data, including genomics, proteomics, and metabolomics.
  • Design and implement bioinformatics pipelines for large-scale data processing and interpretation.
  • Conduct research in plant breeding, genetic diversity, and agrobiotechnology using molecular tools.
  • Participate in a mandatory work placement or thesis project to gain practical experience in industry or research settings.
  • Collaborate on interdisciplinary projects bridging computer science, biology, and agricultural sciences.
  • Develop skills in statistical analysis, machine learning, and neural networks for biological data.
  • Tailor your studies through optional modules to specialise in areas like population genetics, genome sequencing, or plant protection.

Requirements

Degree required: Bachelor’s degree (minimum 180 ECTS credits) in Agricultural Sciences, Biology, Bioinformatics, or a closely related scientific field. Applications from other fields or international applicants will be evaluated individually by a specialist commission.

Degree offered: Master of Science (MSc)

Language: English proficiency at C1 level (e.g., IELTS 7.0, TOEFL iBT 95, or equivalent).

Instruction: English

Required skills
  • Proven academic background in Agricultural Sciences, Biology, or Bioinformatics.
  • Basic proficiency in programming (Python recommended).
  • Strong analytical and quantitative skills.
  • Ability to work with large biological datasets.
  • Familiarity with statistical methods and data analysis tools.
Nice to have
Experience with bioinformatics tools or software (e.g., R, BLAST, QIIME).Knowledge of machine learning or neural networks.Prior exposure to agricultural research or laboratory work.
Eligibility
  • Bachelor’s degree with at least 180 ECTS credits or equivalent.
  • No German language skills required.
  • Open to applicants from all countries.

Funding & terms

Type
Unfunded
Amount
—
Duration
4 semesters (2 years)
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
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Duration
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Taught / research mode
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Campus
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Prerequisites
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Tuition
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How to apply

Deadline: 2024-06-15

Applicants must submit their application via uni-assist, an external service provider. The application package typically includes academic transcripts, proof of English proficiency, a CV, and a letter of motivation. Detailed instructions and required documents are available on the university’s application portal.

Documents required
  • Bachelor’s degree certificate and transcripts
  • Proof of English proficiency (e.g., IELTS, TOEFL, or equivalent)
  • CV (Curriculum Vitae)
  • Letter of motivation
  • Passport-sized photograph
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Contact

International Office· Application Support

https://www.uni-giessen.de/en/study/application

Lab
Faculty of Agricultural Sciences and Environmental Management
Justus Liebig University Giessen
Germany
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